Parallel and distributed computing handbook pdf
File Name: parallel and distributed computing handbook .zip
- Parallel and Distributed Computing Using the Java Language Paradigm
- Topics in Parallel and Distributed Computing
- Handbook on Parallel and Distributed Processing
- Parallel and Distributed Computing Handbook
Parallel and Distributed Computing Using the Java Language Paradigm
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Topics in Parallel and Distributed Computing
This book is the comprehensive, authoritative reference on parallel and distributed systems that everyone who works with or follows this rapidly advancing technology has long needed. Featuring contributions from a stellar team of international experts - and reviewed by an equally elite group of editorial advisors - the book is packed with the type of late-breaking, proprietary information you just can't find in any other single source. Each individual chapter provides an overview of central developments and future directions in a specific area - delivered by a recognized expert in that discipline, and supported by an abundance of illustrations and data tables. You'll find complete accounts of: theoretical foundations upon which the technology is being built, along with algorithms, models, and paradigms; cutting edge architectures and technologies; and the latest industrial and commercial applications across a range of fields, including numerous case histories and development tolls. A true compendium of the current knowledge about parallel and distributed systems - and an incisive, informed forecast of future developments - the book is clearly the standard reference on the topic, and will doubtless remain so for years to come.
Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing TCPP , which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula.
PDF | On Jan 1, , Albert Y. H. Zomaya published Parallel & distributed computing handbook | Find, read and cite all the research you need.
Handbook on Parallel and Distributed Processing
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. Zomaya, editor. The detailed responses received from the users after implementing the communication framework are encouraging and indicates that such a communication framework can be used for disseminating other technology developments to potential users.
Parallel and Distributed Computing Handbook
Instructor's solutions manual is provided gratis by Springer to instructors who adopt the textbook. These presentation files were originally prepared in and were last updated on the dates shown. Instructor's Manual—Vol. The context of parallel processing The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology.
Zomaya 1. Semantics of Concurrent Programming 24 J. Desharnais, A. Mili, R. Mili, J. Mullins, and Y. Slimani 2.